Back
Senior, niche supply-chain ML role reduces applicant density despite metro location.
Strong supply-chain domain knowledge and forecasting expertise limit cross-industry transferability.
Explicit 10-15 years plus domain-specific ML and supply-chain expertise required.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Analyze and model large data sets to improve demand forecasting and supply planning.
Apply machine learning and optimization algorithms to enhance supply chain efficiency and reduce costs.
Serve as a subject matter expert to advise stakeholders on supply chain analytics and continuous process improvements.
10-15 years of experience in data science or supply chain operations analytics with forecasting projects using statistical/ML models.
Bachelor’s or Master’s degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain Management, or related field.
Proficiency in Python, R, SQL, and experience with supply chain management platforms and applied statistics.
Hands-on experience with machine learning algorithms (regression, classification, clustering) and optimization models.
Experienced consultant capable of operating independently and collaboratively in cross-functional teams within a consulting environment.
Deep understanding of supply chain processes including demand forecasting, inventory management, procurement, logistics, and distribution.
Strong communicator with ability to present complex data insights clearly to non-technical stakeholders.